#96 Music Structure Discovery Based on Normalized Cross Correlation
Alexander Wankhammer, I. Vaughan L. Clarkson, Andrew P. Bradley
Music Structure Discovery (MSD) for popular music is a well
known task in Music Information Retrieval (MIR). The proposed
approach tries to find the basic musical structure of a piece of music,
by applying a template matching algorithm on a modified, bar
level Self Distance Matrix (SDM). Mel frequency cepstral coefficients
(MFCC) are used to represent timbral qualities of the audio
material while chroma vectors are selected to incorporate pitch and
harmonic content. The new idea of template matching instead of
trying to find explicit blocks or off-diagonal lines is independent of
any specific characteristics of the underlying SDM and can therefore
be used on a wide range of different songs.
